S. Dao, E. Shek, A. Vellaikal, R. R. Muntz, L. Zhang, M. Potkonjak, and O. Wolfson. Semantic multicast: intelligently sharing collaborative sessions. ACM Computing Surveys (CSUR), 31(2es), 1999. Home/Search Document Details and Download
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Supporting Distributed Processing of Time-based Media Streams - Eide, Eliassen, Lysne (2001) (2 citations) (Correct)
....computer. The results show that distributing components to different computers reduces the average load on each host. This allows the development of more resource demanding, but also more reliable components, improving scalability. 6. Related work The semantic multicast service, described in [4], is an approach for dynamic information sharing, designed to support effective dissemination of the information produced in collaborative sessions, such as a video conference. The design describes a network of proxy servers which gather, annotate, filter, archive and analyze (both on line and ....
S. K. Dao, E. C. Shek, A. Vellaikal, R. R. Muntz, L. Zhang, M. Potkonjak, and O. Wolfson. Semantic Multicast: Intelligently Sharing Collaborative Sessions. ACM Computing Surveys, June 1999.
Hypermedia-Aided Design - Kirovski, Drinic, Potkonjak (2001) (Correct)
....performs a more detailed off line analysis to provide additional semantic structuring for subsequent retrieval and feedback to the semantic multicast graph. Details about the associated enhancements to the multicast protocol and real time audio, video, and text filtering algorithms can be found in [Dao98]. Most importantly, the semantic multicast communication framework satisfies the five fundamental criteria (realized in [Spi97] for effective application to the EDA industry: scalability, availability, adaptability, robustness, and cost effectiveness. Figure 2. Information dissemination in ....
....on a particular topic. Searching. The traditional search engines [Har98] can be used for content discovery in a pool of quants. In addition, we employ sophisticated video scene change and approximate SQL queries for text filtering to provide search capabilities adequate to multimedia documents [Dao98]. Sequentialization. According to a given user profile, his or her background and interest, the system assembles a guided tour [Hal88] of a given presentation. The user is able to modify the tour upon request. Hierarchy. We have adopted the multi tree paradigm [Fur94] for constructing ....
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S. Dao et al. Semantic Multicast - Intelligently Sharing Collaborative Sessions. 1998. http://www.wins.hrl.com/projects/ semcast/semcast_whitepaper.ps.
Seminal: Additive Semantic Content for Multimedia Streams - Rollins, Almeroth (2001) (Correct)
....framework. Ideally, control information will accompany the raw media streams to provide both intra stream as well as inter stream information. Seminal proposes the use of semantic metadata to identify how media should be composed or decomposed for the end application. The Semantic Multicast project[2] proposes a similar framework. However, while the focus of the Semantic Multicast project has largely been database storage and retrieval, our goal is to focus on generation of semantics, delivery of media, storage of streams, and realtime manipulation of content. Seminal serves two functions. ....
S. Dao, E. Shek, A. Vellaikal, R. Muntz, L. Zhang, M. Potkonjak, and O. Wolfson, "Semantic multicast: Intelligently sharing collaborative sessions," ACM Computing Surveys, 1999.
A Framework For Separating Server Scalability and Availability From .. - Fox (1998) (7 citations) (Correct)
....shared by a population of users. However, like the proxy work mentioned above, WAIBA did not attempt to scale their services beyond small groups of users. Proxy intermediaries also figure prominently in the MASH application framework [92] as well as Semantic Multicast for content dissemination [37]. In these cases, 127 the proxy agents perform content aggregation, regrouping, filtering and transcoding, before disseminating the content to downstream clients (or to other proxies that perform further transformations) The TACC framework as specified does not include any explicit machinery ....
Son K. Dao, Brad Perry, Eddie C. Shek, Asha Vellaikal, Richard R. Muntz, Lixia Zhang, Miodrag Potkonjak, and Ouri Wolfson. Semantic multicast: Intelligently 153 sharing collaborative sessions. Hughes Research Labs, UCLA, UIC unpublished manuscript.
Approximate Retrieval from Multimedia Databases Using.. - Wolfson, Lelescu, Xu (1 citation) Self-citation (Wolfson) (Correct)
....atom (crisp or approximate) and T is a real number from the [0; 1] interval. Intuitively, the answer to this query is a set of tuples for which the degree of satisfaction is greater than or equal to T . The main motivation behind using the threshold value instead of the traditional top k (see [10, 5]) is to allow us to provide a unified language for both the on line and the offline scenarios (note that top k is meaningless in the on line case) Example 2 Consider the query in Figure 3. FROM collab session O1,O2 WHERE SELECT id score(O1.author = John D. AND O1.text = multimedia ....
Dao S., Shek E., Vellaikal A., Muntz R., Zhang L., Potkonjak M., Wolfson O., Semantic Multicast: Intelligently Sharing Collaborative Sessions, ACM Computing Surveys, 1998.
Approximate Retrieval from Multimedia Databases Using.. - Lelescu, Wolfson, Xu (1999) (1 citation) Self-citation (Wolfson) (Correct)
....between 5 and 20 minutes (although this assumption is not important for our results) Next, we discuss the query language for retrieval of quants from the database. The same language can be used for filtering of quants in an environment in which collaborative work sessions occur continuously [6] and the user wants to join sessions that match his her profile. The SQL language is unsatisfactory for retrieving and filtering since it performs exact matching. On the other hand, matching between the query and a quant may have to be satisfied in an approximate sense. For example, if the user is ....
Dao S., Shek E., Vellaikal A., Muntz R., Zhang L., Potkonjak M., Wolfson O., "Semantic Multicast: Intelligently Sharing Collaborative Sessions", ACM Computing Surveys, 1998.
Semantic Multicast for Content-based Stream Dissemination - Papaemmanouil.. (2004) (Correct)
No context found.
S. Dao, E. Shek, A. Vellaikal, R. R. Muntz, L. Zhang, M. Potkonjak, and O. Wolfson. Semantic multicast: intelligently sharing collaborative sessions. ACM Computing Surveys (CSUR), 31(2es), 1999.
SemCast: Semantic Multicast for Content-Based Data.. - Papaemmanouil.. (2004) (1 citation) (Correct)
No context found.
S. Dao, E. Shek, A. Vellaikal, R. R. Muntz, L. Zhang, M. Potkonjak, and O. Wolfson. Semantic multicast: intelligently sharing collaborative sessions. ACM Computing Surveys (CSUR), 3"(2es), "999.
I Know What You Mean: Semantic Issues in Internet-Scale .. - Burcea, Petrovic.. (Correct)
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Son Dao, Eddie Shek, Asha Vellaikal, Richard R. Muntz, Lixia Zhang, Miodrag Potkonjak, and Ouri Wolfson. Semantic multicast: intelligently sharing collaborative sessions. ACM Computing Surveys, 31(2es):Article No. 3, 1999.
Computer-Supported Cooperative Work - Kevin Mills National (Correct)
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Dao, S., et al. Semantic Multicast: Intelligently Sharing Collaborative Sessions. In ACM Computing Surveys; ACM Press, June 1999; 2es.
Adaptation Layer Translator (ALX) Design and Application - Qiu, Kuhns, Cox, Horn (2002) (Correct)
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Son Dao, Eddie Shek, Asha Vellaikal, Richard R. Muntz, Lixia Zhang, Miodrag Potkonjak, and Ouri Wolfson. Semantic multicast: intelligently sharing collaborative sessions. ACM Computing Surveys, 31(2es), 1999.
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